Quantitative Researcher – Quant Macro

CW Talent Solutions

Singapore

On-site

SGD 120,000 - 180,000

Full time

13 days ago

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Job summary

CW Talent Solutions is partnering with a leading global investment firm to hire a Quantitative Researcher focused on macro signals research. The role centers on developing predictive models across futures and macro asset classes within a dynamic, research-driven environment.

You will design and test quantitative signals, perform original data-driven research, and collaborate with researchers and technologists to implement signals into systematic strategies, contributing to cutting-edge macro

Qualifications

  • Bachelor’s, Master’s, or Ph.D. in a quantitative or technical field such as Mathematics, Computer Science, Physics, Electrical Engineering, or Financial Engineering.
  • Experience in data processing, modeling, and visualization using Python, R, or C++.
  • Strong academic performance and demonstrated research capabilities.
  • Interest or experience in macro products (Commodities, FX, Rates, Equity Indices) is a significant advantage.

Responsibilities

  • Design and develop quantitative signals (alphas) across macro asset classes and futures markets.
  • Conduct original research using large-scale data sets to uncover market inefficiencies.
  • Build and backtest models to evaluate signal performance in live trading environments.
  • Collaborate with other researchers and technologists to integrate signals into systematic strategies.

Skills

Python/R/C++
Quantitative research
Communication skills

Education

Bachelor/Master/PhD in quantitative field

Job description

CW Talent Solutions is partnering with a leading global investment firm to hire a talented Quantitative Researcher focused on macro signals research. This is an exciting opportunity to work at the forefront of systematic investing, developing predictive models across futures and macro asset classes within a dynamic, research-driven environment.

Key Responsibilities:
  • Design and develop quantitative signals (alphas) across macro asset classes and futures markets
  • Conduct original research using large-scale data sets to uncover market inefficiencies
  • Build and backtest models to evaluate signal performance in live trading environments
  • Collaborate with other researchers and technologists to integrate signals into systematic strategies
Preferred Experience:
  • Bachelor’s, Master’s, or Ph.D. in a quantitative or technical field such as Mathematics, Computer Science, Physics, Electrical Engineering, or Financial Engineering
  • Experience in data processing, modeling, and visualization using Python, R, or C++
  • Strong academic performance and demonstrated research capabilities
  • Interest or experience in macro products (Commodities, FX, Rates, Equity Indices) is a significant advantage
  • Independent thinker with a rigorous, methodical approach to problem-solving
  • Strong communication skills and a passion for learning about global markets
What’s in it for you?
  • Contribute to cutting-edge research at the heart of a globally recognized systematic trading firm
  • Join a meritocratic culture that encourages deep thinking, innovation, and continuous improvement
  • Exposure to a high-performance environment with robust infrastructure and resources
  • Competitive compensation and opportunities for long-term career growth
Why Choose Us:

Our client is a premier quantitative investment firm renowned for its commitment to research excellence and collaborative culture. With a global presence and a focus on data-driven decision making, this is a rare opportunity to shape the future of macro investing through advanced signal research.

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